v-mipeng/LexiconNER
Lexicon-based Named Entity Recognition
This tool helps researchers and data scientists automatically identify specific entities like people, locations, or organizations within large text datasets. It takes a dictionary of known entities and raw text as input, then outputs text with recognized entities highlighted, without requiring manually labeled training data. It's ideal for anyone who needs to extract structured information from unstructured text efficiently.
158 stars. No commits in the last 6 months.
Use this if you need to perform Named Entity Recognition (NER) on text data and have access to dictionaries of entities but lack extensive manually labeled datasets for training.
Not ideal if you require highly precise NER for entity types not well-covered by existing dictionaries or if you prefer a system that uses extensive human-annotated data for training.
Stars
158
Forks
31
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 26, 2022
Commits (30d)
0
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